Impartial binary decisions through qubits

TL;DR

This paper introduces a quantum-based framework using qubits to make impartial, truly random binary decisions, leveraging quantum entanglement and Bayesian models to enhance decision-making processes.

Contribution

It presents a novel hardware-based approach for binary decision-making using qubits, enabling true randomness and impartiality, unlike traditional deterministic systems.

Findings

Quantum qubits enable true randomness in binary decisions.

Entangled states improve decision accuracy in complex scenarios.

Quantum Bayesian models enhance predictive decision-making.

Abstract

Binary decisions are the simplest form of decisions that are made in our daily lives. Examples include choosing a two-way path in a maze, accepting or declining an offer, etc. These decisions are also made by computers, machines and various electronic components. But decisions made on these devices can be partial and deterministic, and hence compromised. In this paper, a simple framework to implement binary decisions using one or many qubits is presented. Such systems are based on a separate hardware infrastructure rather than computer codes. This helps enable true randomness and impartial decision making. The multi-armed bandit problem is used to highlight the decision making ability of qubits by predictive modelling based on quantum Bayesianism. Bipartite and multipartite entangled states are also used to solve specific cases of the problem.